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I will do rna seq, wgs, wes and ngs bioinformatics analysis
Bioinformatics Computational Biology Specialist
Need reliable bioinformatics or computational analysis for your research?
I am an MS Bioinformatics researcher at NUST, working in genomics, computational drug discovery, and biomedical AI. My servic...
About this Gig
Have RNA-seq, NGS, WGS or WES data but need a clear and reproducible bioinformatics workflow?
I provide professional bioinformatics and genomics data analysis for researchers, students and research teams, from raw sequencing data to meaningful biological interpretation.
MY SERVICES INCLUDE
- RNA-seq and NGS data analysis
- FASTQ quality control and preprocessing
- Read trimming and filtering
- Alignment and quantification
- Gene-expression analysis
- Differential expression analysis
- PCA, heatmaps and volcano plots
- WGS and WES data analysis
- Variant calling, filtering and annotation
- Transcriptomics analysis
- GO and KEGG enrichment
- GSEA and pathway analysis
- Statistical analysis and visualization
- Public datasets such as GEO and TCGA
- Reproducible bioinformatics pipelines
- Publication-quality figures and tables
TOOLS
Python | R | Linux | FastQC | MultiQC | STAR | HISAT2 | BWA | SAMtools | featureCounts | DESeq2 | GATK | bcftools and other project-specific bioinformatics tools.
Send me your research objective and available data, and I will help you determine the appropriate analysis workflow.
FAQ
What types of sequencing data can you analyze?
I can work with RNA-seq, WGS, WES and other NGS datasets. Depending on the project, I can start from raw FASTQ files, BAM files, count matrices, VCF files or processed genomic data.
Can you start from raw FASTQ files?
Yes. I can start from raw sequencing files and perform quality control, preprocessing, alignment or quantification and appropriate downstream analysis.
Do you perform RNA-seq differential expression analysis?
Yes. The workflow can include count generation, normalization, differential expression, PCA, heatmaps, volcano plots and biological interpretation.
Do you perform WGS and WES analysis?
Yes. Depending on the project, WGS/WES analysis can include QC, alignment, BAM processing, variant calling, filtering, VCF processing and annotation.
Can you perform GO, KEGG and pathway enrichment?
Yes. Functional enrichment can include GO, KEGG, GSEA or other appropriate pathway analyses depending on the organism and available gene identifiers.
Which tools do you use?
Tools are selected according to the dataset and study design. Common tools include FastQC, MultiQC, STAR, HISAT2, BWA, SAMtools, featureCounts, DESeq2, GATK and bcftools, together with Python, R and Linux.
